Protecting your privacy in a data-driven world, Bowen, Claire Mckay
Автор: Brunton, Steven L. (university Of Washington) Kutz Название: Data-driven science and engineering ISBN: 1009098489 ISBN-13(EAN): 9781009098489 Издательство: Cambridge Academ Рейтинг: Цена: 52790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.
Автор: Crato Название: Data-Driven Policy Impact Evaluation ISBN: 3319784609 ISBN-13(EAN): 9783319784601 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage.
Автор: Frost Jim Название: Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions ISBN: 173543115X ISBN-13(EAN): 9781735431154 Издательство: Неизвестно Рейтинг: Цена: 31870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With a near 50% divorce rate in the United States, every parent who reads this book is either going through a divorce, has been divorced, is married to or living with someone who is divorced, or will go through one or more of his/her children`s divorces. Unlike books designed to enlighten parents about children`s reactions to divorce, A Parents` Guide to Child Custody is written for parents themselves. The book provides parents with an overview of the context within which custody is decided by courts today, including a chapter-by-chapter explanation of the factors that are considered by the court in rendering a custody decision. Part I opens the book with three brief case histories in which the reader is asked to put herself/himself in the place of the court by imaging what custody decisions they would make if they were the judge. This chapter is followed by an orientation to the three major factors that all courts consider in coming to a custody decision. Each subsequent chapter addresses the specific factors that are weighed by the court in its deliberations. Part II provides a more in-depth view of such topics as the factors considered by judges in coming to a custody decision, what to expect when undergoing a child custody evaluation, the use and pitfalls of psychological tests, the assessment of parental capacity, and strategies for countering false allegations. Part III reviews eight myths (i.e. commonly held misconceptions) about what is best for children, as well as guidelines for discussing custody with your children. Part IV provides insight into how best to deal with parental alienation, domestic violence, and obstruction of one parent`s access by the other parent after the court has ruled on custody. Part V concludes with eight sure-fire ways to lose custody as well as the custody evaluator`s recommendations in each of the three hypothetical cases presented in Part I. It is the author`s sincere hope that this book will help parents become better advocates for themselves and for their children.
Автор: Bowen Claire McKay Название: Protecting Your Privacy in a Data-Driven World ISBN: 0367640775 ISBN-13(EAN): 9780367640774 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Does sacrifice to personal information outweigh public good? Access to personal and confidential data allows for more evidence-based, data-informed decisions that can accelerate economic recovery, improve COVID-19 vaccine distribution. However, access comes at a steep privacy cost for contributors, especially underrepresented groups.
Автор: Steven L. Brunton, J. Nathan Kutz Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control ISBN: 1108422098 ISBN-13(EAN): 9781108422093 Издательство: Amazon Internet Рейтинг: Цена: 0.00 T Наличие на складе: Невозможна поставка. Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.
Автор: Qu Youyang, Nosouhi Mohammad Reza, Cui Lei Название: Personalized Privacy Protection in Big Data ISBN: 9811637490 ISBN-13(EAN): 9789811637490 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: - Chapter 1: Introduction
o Privacy research landscape
o Personalized privacy overview
o Contribution of this book
o Remainder of the book
- Chapter 2: Current Methods of Privacy Protection
o Cryptography based methods
o Differential privacy methods
o Anonymity-based methods
o Clustering-base methods
o Machine learning and AI methods
- Chapter 3: Privacy Attacks
o Attack classification
o Rationale of the attacks
o The comparison of attacks
- Chapter 4: Personalize Privacy Defense
o Personalized privacy in cyber-physical systems
o Personalized privacy in social networks
o Personalized privacy in smart city
o Personalized privacy in location-based services
o Personalized privacy on the rise
- Chapter 5: Future Directions
o Trade-off optimization
o Decentralized privacy protection
o Privacy-preserving federated learning
o Federated generative adversarial nets
- Chapter6: Summary and Outlook
Автор: Arijit Chaudhuri Название: Data Gathering, Analysis and Protection of Privacy through Random ISBN: 044463570X ISBN-13(EAN): 9780444635709 Издательство: Elsevier Science Рейтинг: Цена: 205490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
"Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits "tackles how to gather and analyze data relating to stigmatizing human traits. S.L. Warner invented RRT and published it in JASA, 1965. In the 50 years since, the subject has grown tremendously, with continued growth. This book comprehensively consolidates the literature to commemorate the inception of RR. Brings together all relevant aspects of randomized response and indirect questioningTackles how to gather and analyze data relating to stigmatizing human traitsGives an encyclopedic coverage of the topicCovers recent developments and extrapolates to future trends
Автор: Chao Shang Название: Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research ISBN: 9811066760 ISBN-13(EAN): 9789811066764 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Concurrent monitoring of steady state and process dynamics with SFA.- Online monitoring and diagnosis of control performance with SFA and contribution plots.- Recursive SFA algorithm and adaptive monitoring system design.- Probabilistic SFR model and its applications in dynamic quality prediction.- Improved DPLS model with temporal smoothness and its applications in dynamic quality prediction.- Nonlinear and dynamic soft sensing model based on Bayesian framework.- Summary and open problems.
Автор: Xiao-Sheng Si; Zheng-Xin Zhang; Chang-Hua Hu Название: Data-Driven Remaining Useful Life Prognosis Techniques ISBN: 3662540282 ISBN-13(EAN): 9783662540282 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans.
Автор: Harlim John Название: Data-Driven Computational Methods ISBN: 1108472478 ISBN-13(EAN): 9781108472470 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The mathematics behind, and the practice of, computational methods that leverage data for modelling dynamical systems are described in this book. It will teach readers how to fit data on the assumed model and how to use data to determine the underlying model. Suitable for graduate students in applied mathematics, statistics, and engineering.
Автор: Bansal Jagdish Chand, Fung Lance C. C., Simic Milan Название: Advances in Applications of Data-Driven Computing ISBN: 9813369183 ISBN-13(EAN): 9789813369184 Издательство: Springer Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications.
Автор: Si Xiao-Sheng, Zhang Zheng-Xin, Hu Chang-Hua Название: Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications ISBN: 3662571730 ISBN-13(EAN): 9783662571736 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans.
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